Data Manager

4 weeks ago


Cottonwood Heights, Utah, United States Social Finance Ltd Full time
Transforming Financial Services with Data-Driven Insights

At Social Finance Ltd, we're revolutionizing the way people interact with personal finance. As a Senior Data Specialist, you'll play a pivotal role in developing data-intensive solutions to drive decision-making for Risk.

The Role:

We're seeking an experienced, hands-on professional to join our Risk Engineering Artificial Intelligence team. As a critical member of our Independent Risk Management function, you'll collaborate closely with senior leadership to identify opportunities, develop innovative data and AI solutions, and deliver actionable insights that shape our risk oversight strategies.

Key Responsibilities:
  • Design, develop, and maintain scalable and efficient data pipelines to ingest, process, and store diverse data sets from multiple sources.
  • Perform data cleaning, validation, and transformation to prepare high-quality data sets for analytics, reporting, and machine learning.
  • Build and manage data staging environments and ensure optimal storage of structured and unstructured data for downstream applications.
  • Create and maintain APIs to expose data for internal teams, ensuring secure and reliable data access.
  • Work closely with AI/ML specialists and risk financial reporting analysts to deploy enterprise-grade data processing pipelines to production.
  • Implement best practices for data governance, including data lineage, versioning, and monitoring to maintain data accuracy and reliability.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Minimum of 8+ years of experience in data engineering or a related role building analytics solutions.
  • Expert/advanced proficiency in Python for data manipulation and transformation.
  • Experience with large-scale data handling, including unstructured text processing, tokenization, embeddings, and data pipelines.
  • Strong experience in ad querying of database schemas using advanced SQL.
  • Hands-on experience with data flow orchestration/scheduling tools for data processing workflows.
Preferred Skills:
  • Experience with cloud-based machine learning and AI platforms such as AWS (SageMaker, Lambda) and Snowflake.
  • Working knowledge of large language models (LLMs) and their integration into data pipelines.
  • Familiarity with common machine learning frameworks and libraries.

We offer a comprehensive and competitive benefits package, including a base pay range that will be determined based on individual factors such as experience, skills, and location. SoFi provides equal employment opportunities to all employees and applicants for employment without regard to protected characteristics.



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